Fix: main.py to app.py

main.py

@@ -1,16 +0,0 @@
-# This is a sample Python script.
-
-# Press ⌃R to execute it or replace it with your code.
-# Press Double ⇧ to search everywhere for classes, files, tool windows, actions, and settings.
-
-
-def print_hi(name):
-    # Use a breakpoint in the code line below to debug your script.
-    print(f"Hi, {name}")  # Press ⌘F8 to toggle the breakpoint.
-
-
-# Press the green button in the gutter to run the script.
-if __name__ == "__main__":
-    print_hi("PyCharm")
-
-# See PyCharm help at https://www.jetbrains.com/help/pycharm/

src/{frontend/interface.py → app.py}

@@ -1,25 +1,51 @@
 import gradio as gr
 from typing import Dict
-from src.application.services import InterviewAnalyzer
-from src.infrastructure.llm import LangchainService
-from src.infrastructure.emotion import DeepFaceService
-from src.infrastructure.speech import GoogleSpeechService
 
+# from src.application.services import InterviewAnalyzer
+# from src.infrastructure.llm import LangchainService
+# from src.infrastructure.emotion import DeepFaceService
+# from src.infrastructure.speech import GoogleSpeechService
 
-class GradioInterface:
-    def __init__(self):
-        # Initialize services
-        self.emotion_service = DeepFaceService()
-        self.speech_service = GoogleSpeechService()
-        self.llm_service = LangchainService()
-
-        # Initialize analyzer
-        self.analyzer = InterviewAnalyzer(
-            emotion_service=self.emotion_service,
-            speech_service=self.speech_service,
-            llm_service=self.llm_service,
-        )
 
+# class GradioInterface:
+#     def __init__(self):
+#         # Initialize services
+#         self.emotion_service = DeepFaceService()
+#         self.speech_service = GoogleSpeechService()
+#         self.llm_service = LangchainService()
+#
+#         # Initialize analyzer
+#         self.analyzer = InterviewAnalyzer(
+#             emotion_service=self.emotion_service,
+#             speech_service=self.speech_service,
+#             llm_service=self.llm_service,
+#         )
+#
+#     def create_interface(self) -> gr.Interface:
+#         def process_submission(
+#             video_file: str, resume_file: str, job_requirements: str
+#         ) -> Dict:
+#             # Implementation for processing submission
+#             pass
+#
+#         # Create Gradio interface
+#         interface = gr.Interface(
+#             fn=process_submission,
+#             inputs=[
+#                 gr.Video(label="Interview Recording"),
+#                 gr.File(label="Resume"),
+#                 gr.Textbox(label="Job Requirements", lines=5),
+#             ],
+#             outputs=gr.JSON(label="Analysis Results"),
+#             title="HR Interview Analysis System",
+#             description="Upload interview recording and resume to analyze candidate performance",
+#         )
+#
+#         return interface
+
+
+# Testing to setup the simple interface
+class GradioInterface:
     def create_interface(self) -> gr.Interface:
         def process_submission(
             video_file: str, resume_file: str, job_requirements: str
@@ -44,6 +70,7 @@ class GradioInterface:
 
 
 def launch_app():
+    print(gr.__version__)
     app = GradioInterface()
     interface = app.create_interface()
     interface.launch()